Curriculum vitae

General Information

Full Name Rituraj Singh
Contact riturajsingh.infotech [at] gmail [dot] com
Languages Maithili (native), Hindi (fluent), English (fluent), Bengali (beginner), French (beginner)

Research Areas

  • I am passionate about training large language and multimodal models, with a strong focus on Generative AI and its applications in reasoning systems, virtual assistants, and more recently, agentic frameworks. I'm deeply fascinated by the ability of these models to understand, reason, and interact intelligently. My current interests also lie in making these powerful models more accessible and efficient by optimizing them for edge deployment through techniques such as distillation and pruning. With over 6 years of industry experience, I am driven to advance the frontiers of AI and deep learning. Broadly, my research spans Generative AI, multimodal models, and natural language processing, within the wider fields of Artificial Intelligence and Computer Science.
  • During my PhD, I focused on problems related to crowdsourcing, primarily developing formal models for complex workflows in data collection and task execution, and applying probabilistic techniques and latent variable models to analyze and optimize them.

Education

  • 2018 - 2021
    Ph.D. - INRIA, IRISA, Univ Rennes 1.
  • 2013 - 2015
    M.Tech in Computer Science - Indian Institute of Technology, Patna, India
    • Advised by Dr. Ashok Singh Sairam
    • CGPA: 8.79 (10.0 scale)
    • Thesis: Push based User Selection in Crowdsensing.
  • 2008 - 2012
    B.Tech - Rajasthan Technical University, Kota, India.
    • Percentage: 74.28
    • Pass with Honours
    • Project on Video encoding based on loss less compression.

Work Experience

  • Aug 2022 - Now
    Senior Chief Engineer, Samsung Research, Bengaluru, India
    • Project - Bixby, Large/Small/Vision Langauge Models, Agentic Systems
    • Research Area - Generative AI, Large Langauge Models, Multimodal models
  • June 2021 - Aug 2022
    Researcher - Tata Research Development and Design Centre, Pune
    • Project - Misinformation in Resume, Kowlegde graphs
    • Research Area - Contrastive Learning, NLP
  • May 2015 - Dec 2017
    Researcher, TCS Research, Kolkata, India
    • Research on applying machine learnig models on sensor and wearable healthcare data. The work led to several publications and patents.
    • Research Area - Unsupervised Learning, Machine Learning
  • Summer 2014
    Research Intern at TCS Research
    • Research project on anamoly detection in Smart meter sensor data

Honors and Awards

Teaching Experience

  • Spring 2021
    Travaux Pratiques for Artificial Intelligence - Topics in Deep Learning
    • Graduate level introduction to Deep learning (Fully Connected Network, CNN, RNN, LSTM) using Tensorflow, Keras at ESIR | University of Rennes 1.
    • Course taught by Dr. Zoltán Miklós
  • Spring 2019 & Spring 2018
    Travaux Pratiques Data Mining Course
    • Graduate level course on data mining using numpy, pandas, scipy, sklearn libraries at ESIR | University of Rennes 1
    • Course taught by Prof. Zoltán Miklós.
  • Fall 2013
    Teaching Assistant for JAVA programming language
    • Course taught to under graduate third year students. The objective of the course was to learn JAVA programming.
    • Course taught by Prof. Ashok Singh Sairam
  • Spring 2014
    Teaching Assistant for Shell programming and C programming language
    • Course taught to under graduate first year students. The objective of the course was to have the basic understanding of shell programming and C language.
    • Course taught by Prof. Raju Halder

Computer skills

  • ○ Programming languages: Python, Java, C, C++, Android
  • ○ Data Structures and Algorithms
  • ○ Frameworks: Pytorch, Tensorflow, Scipy, Sklearn
  • ○ Scientific: Matlab, Latex, Git
  • ○ Database Systems: MySQL, SPARQL.

Projects

  • ○ Misinformation in Resume
  • ○ Data Centric Workflows for Complex Crowdsourcing Applications.
  • ○ Anomaly detection and its impact on disease classification on Bio-medical data.
  • ○ Building from scratch - NLP pipeline for Maithili Language.
  • ○ Bihar Covid Data analysis
  • Note: for further details on my research, please see the publications page.

Other Interests

  • Sports: Badminton, video-games, hiking
  • Hobbies: playing keyboard, traveling, reeading, movies

References